Title :
The human factors impact of an expert system based reliability centered maintenance program
Author :
Klein, Robert ; Klopp, George T.
Author_Institution :
ARD Corp., Columbia, MD, USA
Abstract :
Reliability centered maintenance (RCM) is a program that addresses the nuclear utility need and the regulatory pressure for improved maintenance practices. A wide variety of system inputs are required to successfully perform RCM. Expert systems are a tool to reduce workload, facilitate the process and improve the performance of an RCM program. Predictive maintenance, using data trending to monitor system performance and identify impending failures, is an alternative input to RCM. Artifical neural networks, embedded in traditional expert systems, can be used to perform predictive maintenance functions. Human factors should be included in an RCM program from the beginning. Maintainability factors related to human error should be identified and input to the RCM process to affect maintenance decisions. Human factors issues are also essential to the development and integration of an RCM expert system.<>
Keywords :
expert systems; human factors; nuclear engineering computing; nuclear power stations; nuclear reactor maintenance; reliability; data trending; expert system; failures identification; human error; human factors impact; maintenance decisions; nuclear utility; reliability centered maintenance program; system performance monitoring; Condition monitoring; Costs; Expert systems; Human factors; Logic testing; Power generation; Power system reliability; Predictive maintenance; Safety; System performance;
Conference_Titel :
Human Factors and Power Plants, 1992., Conference Record for 1992 IEEE Fifth Conference on
Conference_Location :
Monterey, CA, USA
Print_ISBN :
0-7803-0888-3
DOI :
10.1109/HFPP.1992.283403
